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Flocking and swarming in a multi-agent dynamical system.

Gourab Kumar Sar1, Dibakar Ghosh1

  • 1Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India.

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Summary
This summary is machine-generated.

This study introduces a minimal model for multi-agent systems, demonstrating how agents can simultaneously swarm and flock. Simulations reveal diverse cluster structures and flocking behavior emerging above a critical coupling strength.

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Area of Science:

  • Complex Systems
  • Collective Dynamics
  • Agent-Based Modeling

Background:

  • Multi-agent systems exhibit collective behaviors like flocking and swarming in nature and technology.
  • Flocking involves coordinated motion, while swarming focuses on spatial organization.
  • Understanding these emergent dynamics is crucial for diverse scientific fields.

Purpose of the Study:

  • To develop a minimal mathematical model for locally interacting multi-agent systems.
  • To investigate the simultaneous occurrence of swarming and flocking behaviors.
  • To analyze the influence of interaction range and coupling strength on emergent structures.

Main Methods:

  • Development of a minimal mathematical model for agent interactions.
  • In-depth computational simulations to observe system dynamics.
  • Systematic variation of parameters including interaction range, coupling strength, and noise.

Main Results:

  • The model successfully replicates simultaneous swarming and flocking behaviors.
  • Diverse cluster structures emerge, dependent on the interaction range.
  • A critical coupling strength threshold was identified, above which flocking behavior is observed.

Conclusions:

  • The proposed minimal model effectively captures complex collective behaviors in multi-agent systems.
  • Flocking and swarming can emerge concurrently through local interactions.
  • Parameter tuning, particularly coupling strength, is key to controlling emergent dynamics and structures.